基于图像分析的色偏检测算法
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Color Cast Detection Method Based on Image Analysis
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    摘要:

    针对传统色偏检测算法存在的局限性,提出一种新的基于图像分析的色偏检测算法。该算法采用图像的色彩度指标对色偏因子的计算方法进行优化,通过色彩度加权,将 含有大块单一颜色的图像“转化”为色彩丰富的图像,从而消除图像主色调对色偏检测的影响,降低色偏图像的误判率。与传统的基于图像分析的色偏检测算法进行实验比较,结 果表明,该算法能够准确、高效地检测出色偏图像,提高色偏检测的准确率和可靠性;将检测结果与人眼主观评价结果进行对比,结果表明,该算法不仅能消除主色调的影响,降 低色偏图像的误判率,还能准确判别色偏图像和主色调图像。

    Abstract:

    A new cast detection approach based on image analysis was presented to overcome the limitations of conventional algorithm. The color colorfulness index(CCI) was adopted to optimize the calculation of cast factors by CCI weighting. The images containing simple colors were converted into colorful images to eliminate the influence of dominant color on color cast detection and decrease the misjudgment ratio. Compared with traditional algorithm, the results showed that the new technique could detect cast images accurately and efficiently, while enhance the detection accuracy and reliability. Compared with the results of subjective evaluation, this approach could eliminate the influence of dominant colors, reduce the misjudgment rate of color cast images, and precisely identify color cast images and dominant color images.

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户尊兰.基于图像分析的色偏检测算法[J].包装学报,2017,9(1):40-45.

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  • 收稿日期:2016-04-23
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  • 在线发布日期: 2017-04-25
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